Evidence map›Paper›PMID 28271451›Full record

ReviewMolecular diagnosis & therapy2017

The Utility of Biomarkers in Osteoporosis Management.

Patrick Garnero

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Trial
  4. Increased Bone Resorption during Lactation in Pycnodysostosis.International journal of molecular sciences · 2021
    Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Effect of Allele-Specific Clcn7Calcified tissue international · 2024
    Article
  10. Article
  11. Clinical use of bone markers: a challenge to variability.Advances in laboratory medicine · 2024
    Article
  12. Advances in laboratory medicine · 2024
    Article
  13. Article
  14. Review
  15. Periostin in Osteoporosis and Cardiovascular Disease.Journal of the Endocrine Society · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Patrick GarneroDepartment of Internal Medicine Specialties, Division of Bone Diseases, University Hospital of Geneva, 64 Av de la Roseraie, CH-1205, Geneva, Switzerland. patrickgarnero@free.fr.ORCID 0000-0002-2729-2870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The measurement of bone turnover markers is useful for the clinical investigation of patients with osteoporosis. Among the available biochemical markers, the measurements of serum procollagen type I N-terminal propeptide (PINP) and the crosslinked C-terminal telopeptide (serum CTX) have been recommended as reference markers of bone formation and bone resorption, respectively. The important sources of preanalytical and analytical variability have been identified for both markers, and precise measurement can now be obtained. Reference interval data for PINP and CTX have been generated across different geographical locations, which allows optimum clinical interpretation. However, conventional protein-based markers have some limitations, including a lack of specificity for bone tissue, and their inability to reflect osteocyte activity or periosteal metabolism. Thus, novel markers such as periostin, sclerostin and, sphingosine 1-phosphate have been developed to address some of these shortcomings. Recent studies suggest that the measurements of circulating microRNAs, a new class of marker, may represent early biological markers in osteoporosis. Bone markers have been shown to be a useful adjunct to bone mineral density for identifying postmenopausal women at high risk for fracture. Because levels of bone markers respond rapidly to both anabolic and anticatabolic drugs, they are very useful for investigating the mechanism of action of new therapies and, potentially, for predicting their efficacy to reduce fracture risk.

Indexed as

Adaptor Proteins, Signal TransducingBiomarkersBone DensityBone Density Conservation AgentsBone Morphogenetic ProteinsBone ResorptionCell Adhesion MoleculesCollagen Type IDisease ManagementFemaleGenetic MarkersHumansLysophospholipidsMicroRNAsOsteoporosisPeptide FragmentsAdaptor Proteins, Signal TransducingBiomarkersBone Density Conservation AgentsBone Morphogenetic ProteinsCell Adhesion MoleculesCollagen Type Icollagen type I trimeric cross-linked peptideGenetic MarkersLysophospholipidsMicroRNAsPeptide FragmentsPeptidesPOSTN protein, humanProcollagenprocollagen Type I N-terminal peptideSOST protein, humanSphingosinesphingosine 1-phosphate

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.